Skip to main content

Subsurface data types and utilities. This version is the one used by Terranigma Solutions. Please feel free to take anything in this repository for the original one.

Project description

subsurface

DataHub for geoscientific data in Python. Two main purposes:

  • Unify geometric data into data objects (using numpy arrays as memory representation) that all the packages of the stack understand

  • Basic interactions with those data objects:

    • Write/Read
    • Categorized/Meta data
    • Visualization

Data Levels

The difference between data levels is not which data they store but which data they parse and understand. The rationale for this is to be able to pass along any object while keeping the I/O in subsurface::

            HUMAN

\‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾/
= = = = = = = = = = = = = = /. \ -> Additional context/meta information about the data = = = = geo_format= = = = /. .
= = = = = = = = = = = = /. . . \ -> Elements that represent some = = = geo_object= = = /. . . . \ geological concept. E.g: faults, seismic = = = = = = = = = = /. . . . ./ = = element = = = /. . . . / -> type of geometric object: PointSet, = = = = = = = = /. . . ./ TriSurf, LineSet, Tetramesh \primary_struct/. . . / -> Set of arrays that define a geometric object: = = = = = = /. . ./ e.g. StructuredData, UnstructuredData \DF/Xarray /. . / -> Label numpy.arrays = = = = /. ./ \array /. / -> Memory allocation = = /./ = // /

           COMPUTER

Documentation (WIP)

Note that subsurface is still in early days; do expect things to change. We welcome contributions very much, please get in touch if you would like to add support for subsurface in your package.

An early version of the documentation can be found here:

https://softwareunderground.github.io/subsurface/

Direct links:

  • Developers-guide <https://softwareunderground.github.io/subsurface/maintenance.html>_
  • Changelog <https://softwareunderground.github.io/subsurface/changelog.html>_

Installation

.. code-block:: console

pip install subsurface

or

.. code-block:: console

conda install -c conda-forge subsurface

Be aware that to read different formats you will need to manually install the specific dependency (e.g. welly to read well data).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

subsurface_terra-2025.1.0rc8.tar.gz (216.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

subsurface_terra-2025.1.0rc8-py3-none-any.whl (99.8 kB view details)

Uploaded Python 3

File details

Details for the file subsurface_terra-2025.1.0rc8.tar.gz.

File metadata

  • Download URL: subsurface_terra-2025.1.0rc8.tar.gz
  • Upload date:
  • Size: 216.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.9

File hashes

Hashes for subsurface_terra-2025.1.0rc8.tar.gz
Algorithm Hash digest
SHA256 5d307d9cb406eb96c17e02fba6399c913b648bd385fcb0039a4fdc0f1e9b23a1
MD5 188b537755dc9b17709f61356f0779cd
BLAKE2b-256 47094d1bff78319a8f6e8c00e466e0523ee0431f74babeac9cebec2d135e067a

See more details on using hashes here.

File details

Details for the file subsurface_terra-2025.1.0rc8-py3-none-any.whl.

File metadata

File hashes

Hashes for subsurface_terra-2025.1.0rc8-py3-none-any.whl
Algorithm Hash digest
SHA256 f498ef283bfebd5232dc3069a37346642189afb1d85147605d2e33656eba0366
MD5 7e44fb85657616581be6ed295679559d
BLAKE2b-256 7d384751f695c048c5c9df9101b1ba9d6ea9ac253b5121312152cb2eb52ef954

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page